scispace - formally typeset
P

Pietro Mascagni

Researcher at University of Strasbourg

Publications -  87
Citations -  926

Pietro Mascagni is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 10, co-authored 55 publications receiving 309 citations. Previous affiliations of Pietro Mascagni include Catholic University of the Sacred Heart & University of Rome Tor Vergata.

Papers
More filters
Journal ArticleDOI

Artificial Intelligence for Surgical Safety: Automatic Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy Using Deep Learning.

TL;DR: Deep learning algorithms can be trained to reliably segment hepatocystic anatomy and assess CVS criteria in still laparoscopic images and should be encouraged to develop and evaluate deep learning models to improve surgical safety.
Journal ArticleDOI

Computer vision in surgery.

TL;DR: The development and refining of deep neural networks that can now accurately identify objects in images and remember past surgical events has sparked a surge in the applications of CV to analyze intraoperative video and has allowed for the accurate identification of surgical phases (steps) and instruments across a variety of procedures.
Journal ArticleDOI

Surgical Data Science - from Concepts toward Clinical Translation

Lena Maier-Hein, +58 more
TL;DR: Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data as mentioned in this paper.
Journal ArticleDOI

A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos: Documenting Safety in Laparoscopic Cholecystectomy

TL;DR: In this paper, a computer vision platform was developed to automatically locate critical events in surgical videos and provide short video clips documenting the critical view of safety (CVS) in laparoscopic cholecystectomy (LC).
Journal ArticleDOI

HYPerspectral Enhanced Reality (HYPER): a physiology-based surgical guidance tool

TL;DR: HYPER imaging could precisely quantify the overtime perfusion changes in this bowel ischemia model and was developed to superimpose HSI information onto the live video, creating the HYPerspectral-based Enhanced Reality (HYPER).